The story of Generative AI: GPT -1 to Sora
The story of Generative AI: GPT -1 to Sora
If you have used tools such as Chatgpt, Midjourney or Ai-Generated videos and songs, see the latest scenes in a remarkable development of Generative AI. But where did all this start?
This blog takes you from the first days of GPT-1 to the revolutionary launch of Sora’s video production model, OpenAI through an attractive journey, also explained in a way that creative professionals, media producers and the disguised will appreciate.
Generate AI (in 10 seconds)?
Generative AI refers to the AI system that can create new materials – text, image, music, code or even videos – depending on the patterns they have learned from the large dataset.
Think about it this way: You give a signal, and AI “Imagines”, whether it’s a blog post, a sketch, a short film scene or even a voiceover.
Chapter 1: The Early Day -Gpt -1 (2018)
The real story begins with Openais GPT-1, which was released in 2018. Although it did not make headlines at that time, it laid the foundation for everything that comes after that.
What can it do: Write a smooth lesson in response to signals
Borders: There was little (117 million parameters), often repetition and not very creative
Effect: It has been shown that “the spread of language” can give birth to a meaningful material generation.
Most did not notice GPT-1, as it was more than a research demo. But for developers and AI researchers, there was a significant turn.
Chapter 2: Things will be interesting-gpt-2 (2019)
GPT-2 created global news partially because Openai originally refused to release the entire model, for fear that it could be abused.
Size: 1.5 billion parameters (a large jump)
What revenge: GPT-2 can write essays, poems, short stories and even basic codes
Real use: Some indie creators began to build early AI writing equipment and bot
In India, some startups in edtech began experimenting with GPT-2 quietly to generate quiz, summary and support material.
Still, it wasn’t the right “hallucinations” would go to facts or off-topic. But seeds of creative AI devices were planted.
Chapter 3: The Game-Cross-GPT-3 (2020)
GPT-3 was a moment of success. With 175 billion parameters, it was much more powerful, versatile and usable earlier than any language model.
This was when people really started saying:
“Wait – is this AI human -like writing?”
Important features:
Reply to complex questions
Pull a complete blog post
Codes small apps
Players who play role in sports
Effect in India:
Indian creators began to use GPT -3 -Mangoing equipment such as Jasper, Rightsonic and Copyai for materials
Small media agencies began to change repetitive copy work with AI-related drafts
GPT-3 was still around when the word “generative ai” began to receive public recognition.
Chapter 4: Go to Mainstream – Chat and Dall-E (2022)
At the end of 2022, Openai made a good melody of GPT-3.5, and changed everything.
This was the moment when generative AI became viral.
Can chatgpt:
CHAPTER INTERACTIVELY
Write script, poems, social captions
Combine meetings, planning arrangements and more
Dall-E (photo generator) can:
Make the text of original works of art
Make views in the style of oil paintings, 3D, anime, etc.
In India, freelancers, Instagram creators, wedding photographers and marketing agencies began to use AI as part of their workflow – even though they did not quite understand the technique behind it.
A Jaipur-based design studio used dolls to create thumbnails and moodboards for its Rajasthani Heritage Short Film-saving time and creative effort.
Chapter 5: Recognition and creativity -GPT -4 and beyond (2023)
With the release of GPT-4 in 2023, is the tone of the conversation “is it possible?” “How do we use it effectively?”
GPT-4 Brought:
Better argument
Lower hallucinations
Ability to process images and files
Tools such as Midzorney V5, Runway and Adobe Jugnu
AI is less than a news and more than a daily tool for creative
Start-ups in India began to use GPT-4 for material calendar, pitch and customer assistance. The colleges began to offer voluntarily on early writing and AI morality. And most of the creators began to incorporate AI without any sense of Canwa, Dharna and other AI-Arly units.
Chapter 6: Jump in Video – Sora (2024)
And then came the text-to-video model to Sora, presented in 2024,.
For the first time you can write:
“A Rajasthan folk dancer under the sky of stars, 30 seconds, cinematic, soft lighting.”
And get a realistic, fully animated video – fully generated by AI.
Why is Sora different:
It understands physics, camera speed, light and character stability
It can produce fishing scenes with background, movements and mood
It is trained to copy styles from documentary to animation
Although it is still in limited access, Indian filmmaker, advertising agencies and affects those who already find out how Sora can do:
Change mood video or inventory
Help Makes Moving Movies
Create concept campaign for places
What does this development mean for the creators
From GPT-1 to Sora, the journey to Generative AI is not just about smart models-it’s all about unlocking new forms of creativity.
Now you don’t need:
A complete team to make teaser -video
A designer to test visual concepts
A copywriter to write the first draft of the caption or script
You just need ideas – and the right signal.
And this is what makes this moment so powerful, especially in India where creative talent is plentiful, but resources can be limited.
Two tools you can try (now)
Want to start the discovery of generative AI today? Here are two options:
Kaiber
Indian favorable interface
You make stable photos to animated videos
Good for musicians, lyricists and social creators
Chatup + Dall-E
For AI writing and visual construction
Great for violent, teachers and youtubers
Available on mobile and desktop
Both are intuitive and require no technical background.
Last idea: Use for necessary
Started as a technical experiment with GPT-1, was now an important creative tool for millions of professionals around the world-inclined India.
From writing songs to animation of dance visas, GPT-4 and Sora are again defined as “what does it mean to make.” The question is no longer if you are going to use them – but how smart you want to be.